Autonomy Without Independence: Animal Training as a Model for Robot Design

  • David C. Wyland
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3825)


A classic autonomous robot is an autonomous agent for open, unpredictable environments. Such an agent is inherently autonomous but not independent. Independence implies unpredictability, which is incompatible with agency. The current robot models – behavior based and artificial intelligence – have not been effective at implementing the classic autonomous robot model due to limitations in their definitions. The artificial intelligence model cannot deal with unpredictable environments, and neither model directly includes the concept of agency. Animal training as a model for robotics has the potential to avoid these problems. Animal training has several advantages. It has an inherent model of agency. Goals and behavior are formally separated into human goals and animal behavior. The animal is autonomous, requiring conversation between human and animal, but it is not an independent entity. A robot designed using this model is an articulate machine, programmed as an agent for the user.


Open Environment Task Design Task Manager Behavior Base Epistemic Reasoning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • David C. Wyland
    • 1
  1. 1.Reasonable MachinesMorgan HillUSA

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